Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors
China’s rapid industrialization and urbanization have led to significant and imbalanced CO<sub>2</sub> emissions, putting pressure on achieving sustainable development goals. This study analyzed the CO<sub>2</sub> emissions of 31 major cities in China from different sectors (...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/14/2/82 |
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| Summary: | China’s rapid industrialization and urbanization have led to significant and imbalanced CO<sub>2</sub> emissions, putting pressure on achieving sustainable development goals. This study analyzed the CO<sub>2</sub> emissions of 31 major cities in China from different sectors (total, power, industry, and transport) from 2019 to 2022. This study constructs a city-scale CO<sub>2</sub> emission correlation model to achieve nationwide and urban fine-scale research on CO<sub>2</sub> emission spatial networks from different sectors. This study revealed the following: (i) there is an increasing correlation among regions in China, and collaborative governance is crucial; (ii) there are differences in the structure, characteristics, and roles of CO<sub>2</sub> emission networks from different sectors; (iii) China’s CO<sub>2</sub> emission network is mainly concentrated in the northern and eastern regions, which play an important role in emission reduction; and (iv) the impact factors have different effects on CO<sub>2</sub> emissions from different sectors, and we should actively contribute to promoting emission reduction. Correctly understanding the spatial characteristics and influencing factors of CO<sub>2</sub> emissions can help us formulate targeted and efficient emission reduction policies. |
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| ISSN: | 2220-9964 |